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SSIS: Three ways to implement slowly changing dimension slowly changing dimensions in the Data Warehouse

On the theoretical concept of slowly changing Dimension slowly changing dimension see Data Warehouse Series-Slow slowly changing dimension (slowly changing Dimension) common three types and prototype design This article summarizes several ways to realize the slow gradual change dimension, and analyzes the logical process of changing attribute and historical attribute output. Example one: Using the slowly changing Dimension control in

SSIS data conversion component _ Export and Import Conversion

1. Export conversion component Export column conversion reads data from the data stream and inserts the data into the specified file. the secondary conversion uses paired data columns: one column is the data to be output, and the other column is the files to which the

Use SSIS to create a synchronization database data task

SSIS (SQL server integration services) is a platform for generating enterprise-level data integration and data conversion solutions. Integration services can solve complex business problems, such as copying or downloading files, sending emails to respond to events, and updating data warehouses, clear and mine

Using SSIS to create a synchronized database Data task __ Database

SSIS (SQL Server integration Services) is a platform for generating enterprise-class data integration and Data transformation solutions. Using Integration Services solves complex business problems by copying or downloading files, sending e-mail to respond to events, updating the Data Warehouse, purging and mining

SSIS uses environment variables to configure data source connection Parameters

SSIS uses environment variables to configure data source connection Parameters Step 1: Create an SSIS package Create the OLEDB Source and Flat File Destination Connection Manager in the Data Flow Task. Step 2: Configure parameters on the Connection Manager. Right-click the Connection Manager and select "Parameterize

C # directly call the SSIS package to import SQL Server Data

Many people have discussed the data import function of SQL Server by calling the SSIS package on the Internet. After your reference, you have also implemented this function. This function was also used in the previous project. After thinking about it, I decided to paste it to enhance my memory.1. to directly call the SSIS package, you must reference Microsoft. sq

Sort data by SSIS

There are two ways to sort data in SSIS, one using the sort component and the ORDER BY clause with SQL command.One, sort by using the sort componentSortType: Ascending ascending, descending descendingSortOrder: The position of the row sequence, starting from 1, increments in turn,Remove wors with duplicate sort values: If the row sequence repeats, whether to delete the duplicate rows, which differs from all

Sort data by SSIS

There are two ways to sort data in SSIS, one using the sort component and the ORDER BY clause with SQL command.One, sort by using the sort componentSortType: Ascending ascending, descending descendingSortOrder: The position of the row sequence, starting from 1, increments in turn,Remove wors with duplicate sort values: If the row sequence repeats, whether to delete the duplicate rows, which differs from all

How to create a data synchronization task using SSIS

These packages can be used independently or together with other packages to meet complex business needs. Integration Services can extract and convert data from multiple origins (such as XML data files, flat files, and relational data sources) and then load the data to one or more targets. (From MSDN, for more details,

How to create a data synchronization task using SSIS

These packages can be used independently or together with other packages to meet complex business needs. Integration services can extract and convert data from multiple origins (such as XML data files, flat files, and relational data sources) and then load the data to one or more targets. (From msdn, for more details,

Data conversion usage of SSIS

When the SSIS error is: "Cannot convert between Unicode and non-Unicode string data types", consider implementing it with a data converter, as simple as:The first step is to find the data converter:The second step is to edit the data converter:The third step: Edit the target

SSIS Design1: Source Data extraction

The size of the data is determined by two aspects: the width of the row and the number of rows of data, in order to reduce the time of ETL run, can be optimized from the source data extraction, from the input data source control data quality and size, reduce conversion and I

SSIS: Understanding the concepts of synchronization and asynchrony in the data flow Task

Understand synchronization and asynchrony, blocking, semi-blocking and full blocking, and buffer caching concepts in the data flow Task Components in the SSIS dataflow data flow can be divided into synchronous synchronization and asynchronous Asynchrony. Synchronous Sync Components The synchronization component has a very important feature-the output of the sy

SSIS Design6: Leveraging Data flow

The data stream uses memory to buffer the data and process the data transformation in memory, and because memory accesses are very fast, SSIS data Flow conversion performance is very efficient. SSIS engine loads the

SQL Server Bi step by step SSIS 4-Merge data 2

, that is, when the corresponding data is found, productid will be added to our data stream as a new column. If it cannot be found, an error will occur. Click the configuration error output shown above, In this way, for the two outputs of lookup, the normal output is that the data corresponding to productnumber is found, and the update operation is performed at

A common problem of importing Excel data to the database in SSIs

Sometimes, using SSIS to import data in Excel to the database, you will find that there is data in the column named excel, but the data in this column in the target library is not imported, and other columns are normal. At first, the direct impression of this problem was caused by the Excel cell format, but it would no

SSIS Learning (2): Data Flow task (I)

Data Flow tasks are a core task in SSIs. It is estimated that most ETL packages are inseparable from data flow tasks. So we also learned from data flow tasks. A Data Flow task consists of three types of data flow components: sourc

Solve the problem of "unable to get managed connections from the runtime Connection Manager" When SSIS connects to the ODBC Data Source

Recently, I tried to use sqlserver2005 integrate services to extract data from heterogeneous databases and use the ODBC-connected teradata as the data source. Refer to the "SQL Server 2005 database development details" (Electronic Industry Press Hu baijing Yao Qiao Mei) P361-363, the operation steps in SSIs are as follows: (1) Right-click the Connection Manager

SSIS uses environment variables to configure data source connection Parameters

Scenario We hope we can select the parameters when executing the package. In this case, we can use the environment variables. In addition, all the packages can use the environment variables, which is more convenient when there are a large number of packages. Step 1: Create an SSIS package Create the oledb source and flat file destination Connection Manager in the data flow task. Step 2: Configure parame

SSIS data stream component development (2) reprint

. Install Components After debugging by pressing F5, find the compiled library file in the bin \ debug \ folder of the project. The library file compiled here is dataflowcomponent_1.dll, copy the library file to Create an SSIS package in bids. In this case, you cannot see the newly developed components in the data flow design toolbox. Right-click the toolbox and select "select item ". Add development com

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